Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 2774 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 271.0 KiB |
| Average record size in memory | 100.0 B |
Variable types
| Numeric | 11 |
|---|---|
| DateTime | 2 |
df_index is highly correlated with days_ | High correlation |
gross_revenue is highly correlated with quantity and 3 other fields | High correlation |
quantity is highly correlated with gross_revenue and 2 other fields | High correlation |
purchases is highly correlated with gross_revenue and 3 other fields | High correlation |
avg_recency_days is highly correlated with frequency | High correlation |
days_ is highly correlated with df_index and 3 other fields | High correlation |
buy_ is highly correlated with gross_revenue and 3 other fields | High correlation |
frequency is highly correlated with avg_recency_days | High correlation |
df_index is highly correlated with days_ | High correlation |
gross_revenue is highly correlated with quantity and 2 other fields | High correlation |
quantity is highly correlated with gross_revenue and 2 other fields | High correlation |
purchases is highly correlated with gross_revenue and 2 other fields | High correlation |
days_ is highly correlated with df_index | High correlation |
buy_ is highly correlated with gross_revenue and 2 other fields | High correlation |
df_index is highly correlated with days_ | High correlation |
gross_revenue is highly correlated with quantity and 2 other fields | High correlation |
quantity is highly correlated with gross_revenue and 2 other fields | High correlation |
purchases is highly correlated with gross_revenue and 2 other fields | High correlation |
avg_recency_days is highly correlated with frequency | High correlation |
days_ is highly correlated with df_index | High correlation |
buy_ is highly correlated with gross_revenue and 2 other fields | High correlation |
frequency is highly correlated with avg_recency_days | High correlation |
df_index is highly correlated with avg_recency_days and 1 other fields | High correlation |
gross_revenue is highly correlated with quantity and 3 other fields | High correlation |
recency_in_days is highly correlated with days_ | High correlation |
quantity is highly correlated with gross_revenue and 3 other fields | High correlation |
purchases is highly correlated with gross_revenue and 2 other fields | High correlation |
avg_ticket is highly correlated with gross_revenue and 1 other fields | High correlation |
avg_recency_days is highly correlated with df_index and 1 other fields | High correlation |
days_ is highly correlated with df_index and 2 other fields | High correlation |
buy_ is highly correlated with gross_revenue and 2 other fields | High correlation |
avg_ticket is highly skewed (γ1 = 51.90076813) | Skewed |
frequency is highly skewed (γ1 = 46.08548575) | Skewed |
df_index has unique values | Unique |
customer_id has unique values | Unique |
recency_in_days has 34 (1.2%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-26 11:11:55.542561 |
|---|---|
| Analysis finished | 2022-05-26 11:12:45.663403 |
| Duration | 50.12 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
df_index
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 2774 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2215.728911 |
| Minimum | 0 |
|---|---|
| Maximum | 5612 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 179.65 |
| Q1 | 879.25 |
| median | 2017.5 |
| Q3 | 3359.75 |
| 95-th percentile | 4878.15 |
| Maximum | 5612 |
| Range | 5612 |
| Interquartile range (IQR) | 2480.5 |
Descriptive statistics
| Standard deviation | 1501.511553 |
|---|---|
| Coefficient of variation (CV) | 0.6776603154 |
| Kurtosis | -0.954277711 |
| Mean | 2215.728911 |
| Median Absolute Deviation (MAD) | 1220.5 |
| Skewness | 0.3797883099 |
| Sum | 6146432 |
| Variance | 2254536.943 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 2875 | 1 | < 0.1% |
| 2861 | 1 | < 0.1% |
| 2863 | 1 | < 0.1% |
| 2864 | 1 | < 0.1% |
| 2867 | 1 | < 0.1% |
| 2868 | 1 | < 0.1% |
| 2871 | 1 | < 0.1% |
| 2872 | 1 | < 0.1% |
| 2873 | 1 | < 0.1% |
| Other values (2764) | 2764 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 5612 | 1 | |
| 5602 | 1 | |
| 5596 | 1 | |
| 5571 | 1 | |
| 5565 | 1 | |
| 5554 | 1 | |
| 5553 | 1 | |
| 5537 | 1 | |
| 5536 | 1 | |
| 5527 | 1 |
| Distinct | 2774 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15285.69971 |
| Minimum | 12347 |
|---|---|
| Maximum | 18287 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.0 KiB |
Quantile statistics
| Minimum | 12347 |
|---|---|
| 5-th percentile | 12626.65 |
| Q1 | 13815.25 |
| median | 15242.5 |
| Q3 | 16779.75 |
| 95-th percentile | 17950.35 |
| Maximum | 18287 |
| Range | 5940 |
| Interquartile range (IQR) | 2964.5 |
Descriptive statistics
| Standard deviation | 1714.984904 |
|---|---|
| Coefficient of variation (CV) | 0.1121953811 |
| Kurtosis | -1.206915065 |
| Mean | 15285.69971 |
| Median Absolute Deviation (MAD) | 1483.5 |
| Skewness | 0.01599078757 |
| Sum | 42402531 |
| Variance | 2941173.222 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 17850 | 1 | < 0.1% |
| 15172 | 1 | < 0.1% |
| 13516 | 1 | < 0.1% |
| 14323 | 1 | < 0.1% |
| 18079 | 1 | < 0.1% |
| 14700 | 1 | < 0.1% |
| 15027 | 1 | < 0.1% |
| 17029 | 1 | < 0.1% |
| 13220 | 1 | < 0.1% |
| 15985 | 1 | < 0.1% |
| Other values (2764) | 2764 |
| Value | Count | Frequency (%) |
| 12347 | 1 | |
| 12348 | 1 | |
| 12352 | 1 | |
| 12356 | 1 | |
| 12358 | 1 | |
| 12359 | 1 | |
| 12360 | 1 | |
| 12362 | 1 | |
| 12364 | 1 | |
| 12370 | 1 |
| Value | Count | Frequency (%) |
| 18287 | 1 | |
| 18283 | 1 | |
| 18282 | 1 | |
| 18273 | 1 | |
| 18272 | 1 | |
| 18270 | 1 | |
| 18265 | 1 | |
| 18263 | 1 | |
| 18261 | 1 | |
| 18260 | 1 |
| Distinct | 2760 |
|---|---|
| Distinct (%) | 99.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2904.649153 |
| Minimum | 36.56 |
|---|---|
| Maximum | 279138.02 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 36.56 |
|---|---|
| 5-th percentile | 264.557 |
| Q1 | 628.195 |
| median | 1170.87 |
| Q3 | 2423.86 |
| 95-th percentile | 7579.4915 |
| Maximum | 279138.02 |
| Range | 279101.46 |
| Interquartile range (IQR) | 1795.665 |
Descriptive statistics
| Standard deviation | 10927.08309 |
|---|---|
| Coefficient of variation (CV) | 3.761928726 |
| Kurtosis | 331.9637848 |
| Mean | 2904.649153 |
| Median Absolute Deviation (MAD) | 690.475 |
| Skewness | 16.26124122 |
| Sum | 8057496.75 |
| Variance | 119401144.8 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 731.9 | 2 | 0.1% |
| 1078.96 | 2 | 0.1% |
| 734.94 | 2 | 0.1% |
| 1353.74 | 2 | 0.1% |
| 178.96 | 2 | 0.1% |
| 598.2 | 2 | 0.1% |
| 2053.02 | 2 | 0.1% |
| 1314.45 | 2 | 0.1% |
| 745.06 | 2 | 0.1% |
| 379.65 | 2 | 0.1% |
| Other values (2750) | 2754 |
| Value | Count | Frequency (%) |
| 36.56 | 1 | |
| 52 | 1 | |
| 52.2 | 1 | |
| 62.43 | 1 | |
| 68.84 | 1 | |
| 70.02 | 1 | |
| 77.4 | 1 | |
| 84.65 | 1 | |
| 90.3 | 1 | |
| 93.35 | 1 |
| Value | Count | Frequency (%) |
| 279138.02 | 1 | |
| 259657.3 | 1 | |
| 194550.79 | 1 | |
| 168472.5 | 1 | |
| 140438.72 | 1 | |
| 124564.53 | 1 | |
| 117375.63 | 1 | |
| 91062.38 | 1 | |
| 72882.09 | 1 | |
| 66653.56 | 1 |
| Distinct | 252 |
|---|---|
| Distinct (%) | 9.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 56.62797404 |
| Minimum | 0 |
|---|---|
| Maximum | 372 |
| Zeros | 34 |
| Zeros (%) | 1.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 10 |
| median | 29 |
| Q3 | 73 |
| 95-th percentile | 211 |
| Maximum | 372 |
| Range | 372 |
| Interquartile range (IQR) | 63 |
Descriptive statistics
| Standard deviation | 68.41902268 |
|---|---|
| Coefficient of variation (CV) | 1.208219503 |
| Kurtosis | 3.432119089 |
| Mean | 56.62797404 |
| Median Absolute Deviation (MAD) | 23.5 |
| Skewness | 1.898364316 |
| Sum | 157086 |
| Variance | 4681.162665 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 99 | 3.6% |
| 4 | 87 | 3.1% |
| 3 | 85 | 3.1% |
| 2 | 85 | 3.1% |
| 8 | 76 | 2.7% |
| 10 | 67 | 2.4% |
| 9 | 66 | 2.4% |
| 7 | 65 | 2.3% |
| 17 | 62 | 2.2% |
| 22 | 55 | 2.0% |
| Other values (242) | 2027 |
| Value | Count | Frequency (%) |
| 0 | 34 | 1.2% |
| 1 | 99 | |
| 2 | 85 | |
| 3 | 85 | |
| 4 | 87 | |
| 5 | 43 | |
| 7 | 65 | |
| 8 | 76 | |
| 9 | 66 | |
| 10 | 67 |
| Value | Count | Frequency (%) |
| 372 | 1 | < 0.1% |
| 366 | 1 | < 0.1% |
| 360 | 1 | < 0.1% |
| 358 | 3 | |
| 354 | 1 | < 0.1% |
| 337 | 1 | < 0.1% |
| 336 | 2 | |
| 334 | 1 | < 0.1% |
| 333 | 2 | |
| 330 | 1 | < 0.1% |
| Distinct | 1632 |
|---|---|
| Distinct (%) | 58.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1697.820476 |
| Minimum | 2 |
|---|---|
| Maximum | 196844 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 119 |
| Q1 | 330.25 |
| median | 699.5 |
| Q3 | 1478 |
| 95-th percentile | 4645.5 |
| Maximum | 196844 |
| Range | 196842 |
| Interquartile range (IQR) | 1147.75 |
Descriptive statistics
| Standard deviation | 6074.430131 |
|---|---|
| Coefficient of variation (CV) | 3.577781171 |
| Kurtosis | 438.7272215 |
| Mean | 1697.820476 |
| Median Absolute Deviation (MAD) | 449 |
| Skewness | 17.33919681 |
| Sum | 4709754 |
| Variance | 36898701.42 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 310 | 11 | 0.4% |
| 150 | 8 | 0.3% |
| 246 | 8 | 0.3% |
| 219 | 7 | 0.3% |
| 394 | 7 | 0.3% |
| 200 | 7 | 0.3% |
| 260 | 7 | 0.3% |
| 516 | 7 | 0.3% |
| 1200 | 7 | 0.3% |
| 300 | 7 | 0.3% |
| Other values (1622) | 2698 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 19 | 1 | |
| 20 | 1 | |
| 25 | 1 | |
| 27 | 2 | |
| 30 | 1 | |
| 32 | 1 | |
| 33 | 2 |
| Value | Count | Frequency (%) |
| 196844 | 1 | |
| 80997 | 1 | |
| 79963 | 1 | |
| 77373 | 1 | |
| 69993 | 1 | |
| 64549 | 1 | |
| 64124 | 1 | |
| 62812 | 1 | |
| 58243 | 1 | |
| 57785 | 1 |
| Distinct | 55 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.052992069 |
| Minimum | 2 |
|---|---|
| Maximum | 206 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 17 |
| Maximum | 206 |
| Range | 204 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 9.071603018 |
|---|---|
| Coefficient of variation (CV) | 1.498697324 |
| Kurtosis | 183.9451599 |
| Mean | 6.052992069 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 10.62466362 |
| Sum | 16791 |
| Variance | 82.29398131 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 781 | |
| 3 | 498 | |
| 4 | 393 | |
| 5 | 237 | 8.5% |
| 6 | 173 | 6.2% |
| 7 | 138 | 5.0% |
| 8 | 98 | 3.5% |
| 9 | 69 | 2.5% |
| 10 | 55 | 2.0% |
| 11 | 54 | 1.9% |
| Other values (45) | 278 | 10.0% |
| Value | Count | Frequency (%) |
| 2 | 781 | |
| 3 | 498 | |
| 4 | 393 | |
| 5 | 237 | 8.5% |
| 6 | 173 | 6.2% |
| 7 | 138 | 5.0% |
| 8 | 98 | 3.5% |
| 9 | 69 | 2.5% |
| 10 | 55 | 2.0% |
| 11 | 54 | 1.9% |
| Value | Count | Frequency (%) |
| 206 | 1 | |
| 199 | 1 | |
| 124 | 1 | |
| 97 | 1 | |
| 91 | 2 | |
| 86 | 1 | |
| 72 | 1 | |
| 62 | 2 | |
| 60 | 1 | |
| 57 | 1 |
| Distinct | 2772 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.33922977 |
| Minimum | 2.150588235 |
|---|---|
| Maximum | 56157.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 2.150588235 |
|---|---|
| 5-th percentile | 4.852702153 |
| Q1 | 12.42654846 |
| median | 17.94687607 |
| Q3 | 25.07465812 |
| 95-th percentile | 88.42744262 |
| Maximum | 56157.5 |
| Range | 56155.34941 |
| Interquartile range (IQR) | 12.64810966 |
Descriptive statistics
| Standard deviation | 1071.049129 |
|---|---|
| Coefficient of variation (CV) | 20.46360127 |
| Kurtosis | 2718.321494 |
| Mean | 52.33922977 |
| Median Absolute Deviation (MAD) | 6.333840598 |
| Skewness | 51.90076813 |
| Sum | 145189.0234 |
| Variance | 1147146.236 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14.47833333 | 2 | 0.1% |
| 4.162 | 2 | 0.1% |
| 18.15222222 | 1 | < 0.1% |
| 34.63101695 | 1 | < 0.1% |
| 7.603333333 | 1 | < 0.1% |
| 23.90492647 | 1 | < 0.1% |
| 31.5775 | 1 | < 0.1% |
| 16.80722222 | 1 | < 0.1% |
| 28.75566929 | 1 | < 0.1% |
| 19.4373913 | 1 | < 0.1% |
| Other values (2762) | 2762 |
| Value | Count | Frequency (%) |
| 2.150588235 | 1 | |
| 2.4325 | 1 | |
| 2.462371134 | 1 | |
| 2.511241379 | 1 | |
| 2.515333333 | 1 | |
| 2.65 | 1 | |
| 2.656931818 | 1 | |
| 2.707598253 | 1 | |
| 2.760621572 | 1 | |
| 2.770464191 | 1 |
| Value | Count | Frequency (%) |
| 56157.5 | 1 | |
| 4453.43 | 1 | |
| 1687.2 | 1 | |
| 952.9875 | 1 | |
| 872.13 | 1 | |
| 841.0214493 | 1 | |
| 651.1683333 | 1 | |
| 640 | 1 | |
| 624.4 | 1 | |
| 615.75 | 1 |
| Distinct | 1155 |
|---|---|
| Distinct (%) | 41.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 78.8018889 |
| Minimum | 1 |
|---|---|
| Maximum | 366 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 13 |
| Q1 | 34.24166667 |
| median | 59 |
| Q3 | 99 |
| 95-th percentile | 224 |
| Maximum | 366 |
| Range | 365 |
| Interquartile range (IQR) | 64.75833333 |
Descriptive statistics
| Standard deviation | 66.51501118 |
|---|---|
| Coefficient of variation (CV) | 0.8440788934 |
| Kurtosis | 3.674436164 |
| Mean | 78.8018889 |
| Median Absolute Deviation (MAD) | 30 |
| Skewness | 1.828361094 |
| Sum | 218596.4398 |
| Variance | 4424.246712 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 70 | 21 | 0.8% |
| 46 | 18 | 0.6% |
| 55 | 17 | 0.6% |
| 91 | 16 | 0.6% |
| 49 | 16 | 0.6% |
| 31 | 16 | 0.6% |
| 35 | 15 | 0.5% |
| 42 | 15 | 0.5% |
| 21 | 15 | 0.5% |
| 26 | 14 | 0.5% |
| Other values (1145) | 2611 |
| Value | Count | Frequency (%) |
| 1 | 9 | |
| 2 | 4 | |
| 2.861538462 | 1 | < 0.1% |
| 3 | 6 | |
| 3.330357143 | 1 | < 0.1% |
| 3.351351351 | 1 | < 0.1% |
| 4 | 5 | |
| 4.191011236 | 1 | < 0.1% |
| 4.275862069 | 1 | < 0.1% |
| 4.5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 366 | 1 | < 0.1% |
| 365 | 1 | < 0.1% |
| 364 | 1 | < 0.1% |
| 363 | 1 | < 0.1% |
| 357 | 2 | |
| 356 | 1 | < 0.1% |
| 355 | 2 | |
| 352 | 1 | < 0.1% |
| 351 | 2 | |
| 350 | 3 |
max_
Date
| Distinct | 252 |
|---|---|
| Distinct (%) | 9.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 21.8 KiB |
| Minimum | 2016-11-30 00:00:00 |
|---|---|
| Maximum | 2017-12-07 00:00:00 |
Histogram with fixed size bins (bins=50)
min_
Date
| Distinct | 297 |
|---|---|
| Distinct (%) | 10.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 21.8 KiB |
| Minimum | 2016-11-29 00:00:00 |
|---|---|
| Maximum | 2017-11-28 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 373 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 205.0392934 |
| Minimum | 2 |
|---|---|
| Maximum | 374 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 24.65 |
| Q1 | 108 |
| median | 212 |
| Q3 | 303 |
| 95-th percentile | 363 |
| Maximum | 374 |
| Range | 372 |
| Interquartile range (IQR) | 195 |
Descriptive statistics
| Standard deviation | 111.1851779 |
|---|---|
| Coefficient of variation (CV) | 0.5422627831 |
| Kurtosis | -1.217319388 |
| Mean | 205.0392934 |
| Median Absolute Deviation (MAD) | 97 |
| Skewness | -0.162858992 |
| Sum | 568779 |
| Variance | 12362.14379 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 365 | 28 | 1.0% |
| 351 | 26 | 0.9% |
| 358 | 25 | 0.9% |
| 367 | 20 | 0.7% |
| 352 | 20 | 0.7% |
| 356 | 19 | 0.7% |
| 366 | 18 | 0.6% |
| 344 | 18 | 0.6% |
| 211 | 17 | 0.6% |
| 357 | 17 | 0.6% |
| Other values (363) | 2566 |
| Value | Count | Frequency (%) |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 3 | 0.1% |
| 7 | 2 | 0.1% |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 3 | 0.1% |
| 11 | 4 |
| Value | Count | Frequency (%) |
| 374 | 5 | 0.2% |
| 373 | 8 | 0.3% |
| 372 | 8 | 0.3% |
| 371 | 8 | 0.3% |
| 370 | 6 | 0.2% |
| 369 | 10 | 0.4% |
| 368 | 11 | 0.4% |
| 367 | 20 | |
| 366 | 18 | |
| 365 | 28 |
| Distinct | 55 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.052992069 |
| Minimum | 2 |
|---|---|
| Maximum | 206 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 17 |
| Maximum | 206 |
| Range | 204 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 9.071603018 |
|---|---|
| Coefficient of variation (CV) | 1.498697324 |
| Kurtosis | 183.9451599 |
| Mean | 6.052992069 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 10.62466362 |
| Sum | 16791 |
| Variance | 82.29398131 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 781 | |
| 3 | 498 | |
| 4 | 393 | |
| 5 | 237 | 8.5% |
| 6 | 173 | 6.2% |
| 7 | 138 | 5.0% |
| 8 | 98 | 3.5% |
| 9 | 69 | 2.5% |
| 10 | 55 | 2.0% |
| 11 | 54 | 1.9% |
| Other values (45) | 278 | 10.0% |
| Value | Count | Frequency (%) |
| 2 | 781 | |
| 3 | 498 | |
| 4 | 393 | |
| 5 | 237 | 8.5% |
| 6 | 173 | 6.2% |
| 7 | 138 | 5.0% |
| 8 | 98 | 3.5% |
| 9 | 69 | 2.5% |
| 10 | 55 | 2.0% |
| 11 | 54 | 1.9% |
| Value | Count | Frequency (%) |
| 206 | 1 | |
| 199 | 1 | |
| 124 | 1 | |
| 97 | 1 | |
| 91 | 2 | |
| 86 | 1 | |
| 72 | 1 | |
| 62 | 2 | |
| 60 | 1 | |
| 57 | 1 |
| Distinct | 1225 |
|---|---|
| Distinct (%) | 44.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.04969219171 |
| Minimum | 0.005449591281 |
|---|---|
| Maximum | 17 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 21.8 KiB |
Quantile statistics
| Minimum | 0.005449591281 |
|---|---|
| 5-th percentile | 0.008746355685 |
| Q1 | 0.01575839204 |
| median | 0.0243902439 |
| Q3 | 0.04166666667 |
| 95-th percentile | 0.1153846154 |
| Maximum | 17 |
| Range | 16.99455041 |
| Interquartile range (IQR) | 0.02590827462 |
Descriptive statistics
| Standard deviation | 0.3375950011 |
|---|---|
| Coefficient of variation (CV) | 6.793723309 |
| Kurtosis | 2296.521881 |
| Mean | 0.04969219171 |
| Median Absolute Deviation (MAD) | 0.01069454458 |
| Skewness | 46.08548575 |
| Sum | 137.8461398 |
| Variance | 0.1139703848 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.0625 | 17 | 0.6% |
| 0.02777777778 | 17 | 0.6% |
| 0.02380952381 | 16 | 0.6% |
| 0.09090909091 | 15 | 0.5% |
| 0.08333333333 | 15 | 0.5% |
| 0.03448275862 | 14 | 0.5% |
| 0.02941176471 | 14 | 0.5% |
| 0.02127659574 | 13 | 0.5% |
| 0.01923076923 | 13 | 0.5% |
| 0.03571428571 | 13 | 0.5% |
| Other values (1215) | 2627 |
| Value | Count | Frequency (%) |
| 0.005449591281 | 1 | < 0.1% |
| 0.005464480874 | 1 | < 0.1% |
| 0.005479452055 | 1 | < 0.1% |
| 0.005494505495 | 1 | < 0.1% |
| 0.005586592179 | 2 | |
| 0.005602240896 | 1 | < 0.1% |
| 0.005617977528 | 2 | |
| 0.00566572238 | 1 | < 0.1% |
| 0.005681818182 | 2 | |
| 0.005698005698 | 3 |
| Value | Count | Frequency (%) |
| 17 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 2 | 1 | < 0.1% |
| 1.142857143 | 1 | < 0.1% |
| 1 | 8 | |
| 0.75 | 1 | < 0.1% |
| 0.6666666667 | 3 | 0.1% |
| 0.550802139 | 1 | < 0.1% |
| 0.5335120643 | 1 | < 0.1% |
| 0.5 | 3 | 0.1% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | customer_id | gross_revenue | recency_in_days | quantity | purchases | avg_ticket | avg_recency_days | max_ | min_ | days_ | buy_ | frequency | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 17850 | 5391.21 | 372 | 1733 | 34 | 18.152222 | 1.000000 | 2016-11-30 | 2016-11-29 | 2 | 34 | 17.000000 |
| 1 | 1 | 13047 | 3232.59 | 56 | 1390 | 9 | 18.904035 | 52.833333 | 2017-10-12 | 2016-11-29 | 318 | 9 | 0.028302 |
| 2 | 2 | 12583 | 6705.38 | 2 | 5028 | 15 | 28.902500 | 26.500000 | 2017-12-05 | 2016-11-29 | 372 | 15 | 0.040323 |
| 3 | 3 | 13748 | 948.25 | 95 | 439 | 5 | 33.866071 | 92.666667 | 2017-09-03 | 2016-11-29 | 279 | 5 | 0.017921 |
| 4 | 4 | 15100 | 876.00 | 333 | 80 | 3 | 292.000000 | 20.000000 | 2017-01-08 | 2016-11-29 | 41 | 3 | 0.073171 |
| 5 | 5 | 15291 | 4623.30 | 25 | 2102 | 14 | 45.326471 | 26.769231 | 2017-11-12 | 2016-11-29 | 349 | 14 | 0.040115 |
| 6 | 6 | 14688 | 5630.87 | 7 | 3621 | 21 | 17.219786 | 19.263158 | 2017-11-30 | 2016-11-29 | 367 | 21 | 0.057221 |
| 7 | 7 | 17809 | 5411.91 | 16 | 2057 | 12 | 88.719836 | 39.666667 | 2017-11-21 | 2016-11-29 | 358 | 12 | 0.033520 |
| 8 | 8 | 15311 | 60767.90 | 0 | 38194 | 91 | 25.543464 | 4.191011 | 2017-12-07 | 2016-11-29 | 374 | 91 | 0.243316 |
| 9 | 9 | 16098 | 2005.63 | 87 | 613 | 7 | 29.934776 | 47.666667 | 2017-09-11 | 2016-11-29 | 287 | 7 | 0.024390 |
Last rows
| df_index | customer_id | gross_revenue | recency_in_days | quantity | purchases | avg_ticket | avg_recency_days | max_ | min_ | days_ | buy_ | frequency | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2764 | 5527 | 17290 | 525.24 | 3 | 404 | 2 | 5.149412 | 13.0 | 2017-12-04 | 2017-11-21 | 14 | 2 | 0.142857 |
| 2765 | 5536 | 14785 | 77.40 | 10 | 84 | 2 | 25.800000 | 5.0 | 2017-11-27 | 2017-11-22 | 6 | 2 | 0.333333 |
| 2766 | 5537 | 17254 | 272.44 | 4 | 252 | 2 | 2.432500 | 11.0 | 2017-12-03 | 2017-11-22 | 12 | 2 | 0.166667 |
| 2767 | 5553 | 17232 | 421.52 | 2 | 203 | 2 | 11.708889 | 12.0 | 2017-12-05 | 2017-11-23 | 13 | 2 | 0.153846 |
| 2768 | 5554 | 17468 | 137.00 | 10 | 116 | 2 | 27.400000 | 4.0 | 2017-11-27 | 2017-11-23 | 5 | 2 | 0.400000 |
| 2769 | 5565 | 13596 | 697.04 | 5 | 406 | 2 | 4.199036 | 7.0 | 2017-12-02 | 2017-11-25 | 8 | 2 | 0.250000 |
| 2770 | 5571 | 14893 | 1237.85 | 9 | 799 | 2 | 16.956849 | 2.0 | 2017-11-28 | 2017-11-26 | 3 | 2 | 0.666667 |
| 2771 | 5596 | 14126 | 706.13 | 7 | 508 | 3 | 47.075333 | 3.0 | 2017-11-30 | 2017-11-27 | 4 | 3 | 0.750000 |
| 2772 | 5602 | 13521 | 1092.39 | 1 | 733 | 3 | 2.511241 | 4.5 | 2017-12-06 | 2017-11-27 | 10 | 3 | 0.300000 |
| 2773 | 5612 | 15060 | 301.84 | 8 | 262 | 4 | 2.515333 | 1.0 | 2017-11-29 | 2017-11-28 | 2 | 4 | 2.000000 |